Search Results - "Radul, Alexey"

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  1. 1

    Killer Problems by Khovanova, Tanya, Radul, Alexey

    Published in The American mathematical monthly (01-12-2012)
    “…This is a special collection of problems that were given to select applicants during oral entrance exams to the Department of Mechanics and Mathematics of…”
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  3. 3

    The Base Measure Problem and its Solution by Radul, Alexey, Alexeev, Boris

    Published 06-10-2020
    “…Probabilistic programming systems generally compute with probability density functions, leaving the base measure of each such function implicit. This mostly…”
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  4. 4

    The Foil: Capture-Avoiding Substitution With No Sharp Edges by Maclaurin, Dougal, Radul, Alexey, Paszke, Adam

    Published 10-10-2022
    “…Correctly manipulating program terms in a compiler is surprisingly difficult because of the need to avoid name capture. The rapier from "Secrets of the Glasgow…”
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  5. 5

    You Only Linearize Once: Tangents Transpose to Gradients by Radul, Alexey, Paszke, Adam, Frostig, Roy, Johnson, Matthew, Maclaurin, Dougal

    Published 22-04-2022
    “…Automatic differentiation (AD) is conventionally understood as a family of distinct algorithms, rooted in two "modes" -- forward and reverse -- which are…”
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  6. 6

    FunMC: A functional API for building Markov Chains by Sountsov, Pavel, Radul, Alexey, Vasudevan, Srinivas

    Published 14-01-2020
    “…Constant-memory algorithms, also loosely called Markov chains, power the vast majority of probabilistic inference and machine learning applications today. A…”
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  7. 7

    Decomposing reverse-mode automatic differentiation by Frostig, Roy, Johnson, Matthew J, Maclaurin, Dougal, Paszke, Adam, Radul, Alexey

    Published 19-05-2021
    “…We decompose reverse-mode automatic differentiation into (forward-mode) linearization followed by transposition. Doing so isolates the essential difference…”
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  8. 8

    Getting to the Point. Index Sets and Parallelism-Preserving Autodiff for Pointful Array Programming by Paszke, Adam, Johnson, Daniel, Duvenaud, David, Vytiniotis, Dimitrios, Radul, Alexey, Johnson, Matthew, Ragan-Kelley, Jonathan, Maclaurin, Dougal

    Published 12-04-2021
    “…We present a novel programming language design that attempts to combine the clarity and safety of high-level functional languages with the efficiency and…”
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  9. 9

    Automatically Batching Control-Intensive Programs for Modern Accelerators by Radul, Alexey, Patton, Brian, Maclaurin, Dougal, Hoffman, Matthew D, Saurous, Rif A

    Published 23-10-2019
    “…We present a general approach to batching arbitrary computations for accelerators such as GPUs. We show orders-of-magnitude speedups using our method on the No…”
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  10. 10

    Confusion of Tagged Perturbations in Forward Automatic Differentiation of Higher-Order Functions by Manzyuk, Oleksandr, Pearlmutter, Barak A, Radul, Alexey Andreyevich, Rush, David R, Siskind, Jeffrey Mark

    Published 29-06-2019
    “…Forward Automatic Differentiation (AD) is a technique for augmenting programs to compute derivatives. The essence of Forward AD is to attach perturbations to…”
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  11. 11

    Jewish Problems by Khovanova, Tanya, Radul, Alexey

    Published 07-10-2011
    “…published as "KIller Problems" in The American Matheamtical Monthly Vol. 119, No. 10 (2012), pp815-82 This is a special collection of problems that were given…”
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  12. 12

    Time Series Structure Discovery via Probabilistic Program Synthesis by Schaechtle, Ulrich, Saad, Feras, Radul, Alexey, Mansinghka, Vikash

    Published 21-11-2016
    “…There is a widespread need for techniques that can discover structure from time series data. Recently introduced techniques such as Automatic Bayesian…”
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  13. 13

    Simple, Distributed, and Accelerated Probabilistic Programming by Tran, Dustin, Hoffman, Matthew, Moore, Dave, Suter, Christopher, Vasudevan, Srinivas, Radul, Alexey, Johnson, Matthew, Saurous, Rif A

    Published 05-11-2018
    “…We describe a simple, low-level approach for embedding probabilistic programming in a deep learning ecosystem. In particular, we distill probabilistic…”
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  14. 14

    Probabilistic programs for inferring the goals of autonomous agents by Cusumano-Towner, Marco F, Radul, Alexey, Wingate, David, Mansinghka, Vikash K

    Published 17-04-2017
    “…Intelligent systems sometimes need to infer the probable goals of people, cars, and robots, based on partial observations of their motion. This paper…”
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  15. 15

    Probabilistic Programming with Gaussian Process Memoization by Schaechtle, Ulrich, Zinberg, Ben, Radul, Alexey, Stathis, Kostas, Mansinghka, Vikash K

    Published 17-12-2015
    “…Gaussian Processes (GPs) are widely used tools in statistics, machine learning, robotics, computer vision, and scientific computation. However, despite their…”
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  16. 16

    Automatic differentiation in machine learning: a survey by Baydin, Atilim Gunes, Pearlmutter, Barak A, Radul, Alexey Andreyevich, Siskind, Jeffrey Mark

    Published 19-02-2015
    “…Atilim Gunes Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul, Jeffrey Mark Siskind. Automatic differentiation in machine learning: a survey. The Journal…”
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  17. 17

    Baron Munchhausen's Sequence by Khovanova, Tanya, Knop, Konstantin, Radul, Alexey

    Published 17-03-2010
    “…Journal of Integer Sequences, v.13 (2010), Article 10.8.7 We investigate a coin-weighing puzzle that appeared in the all-Russian math Olympiad in 2000. We…”
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  18. 18

    AD in Fortran, Part 2: Implementation via Prepreprocessor by Radul, Alexey, Pearlmutter, Barak A, Siskind, Jeffrey Mark

    Published 08-03-2012
    “…Recent Advances in Algorithmic Differentiation, Springer Lecture Notes in Computational Science and Engineering volume 87, 2012, ISBN 978-3-642-30022-6, pages…”
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  19. 19

    AD in Fortran, Part 1: Design by Radul, Alexey, Pearlmutter, Barak A, Siskind, Jeffrey Mark

    Published 07-03-2012
    “…We propose extensions to Fortran which integrate forward and reverse Automatic Differentiation (AD) directly into the programming model. Irrespective of…”
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